Results 21 to 30 of about 11,023,971 (404)

MICROSTATELAB: The EEGLAB Toolbox for Resting-State Microstate Analysis

open access: yesBrain Topography, 2023
Microstate analysis is a multivariate method that enables investigations of the temporal dynamics of large-scale neural networks in EEG recordings of human brain activity.
Sahana Nagabhushan Kalburgi   +5 more
semanticscholar   +1 more source

The older adult brain is less modular, more integrated, and less efficient at rest: A systematic review of large‐scale resting‐state functional brain networks in aging

open access: yesPsychophysiology, 2022
The literature on large‐scale resting‐state functional brain networks across the adult lifespan was systematically reviewed. Studies published between 1986 and July 2021 were retrieved from PubMed. After reviewing 2938 records, 144 studies were included.
H. Deery   +4 more
semanticscholar   +1 more source

NIRS-KIT: a MATLAB toolbox for both resting-state and task fNIRS data analysis

open access: yesNeurophotonics, 2021
. Significance: Functional near-infrared spectroscopy (fNIRS) has been widely used to probe human brain function during task state and resting state. However, the existing analysis toolboxes mainly focus on task activation analysis, few software packages
Xin Hou   +6 more
semanticscholar   +1 more source

What goes on in the resting-state? A qualitative glimpse into resting-state experience in the scanner [PDF]

open access: yesFrontiers in Psychology, 2015
The brain's resting-state has attracted considerable interest in recent years, but currently little is known either about typical experience during the resting-state or about whether there are inter-individual differences in resting-state phenomenology.
Hurlburt, R. T.   +3 more
openaire   +6 more sources

Resting-state electroencephalography (EEG) biomarkers of chronic neuropathic pain. A systematic review

open access: yesNeuroImage, 2022
Diagnosis and management of chronic neuropathic pain are challenging, leading to current efforts to characterize 'objective' biomarkers of pain using imaging or neurophysiological techniques, such as electroencephalography (EEG).
T. Mussigmann, B. Bardel, J. Lefaucheur
semanticscholar   +1 more source

Electroencephalographic Microstates in Schizophrenia and Bipolar Disorder

open access: yesFrontiers in Psychiatry, 2021
Schizophrenia (SCH) and bipolar disorder (BD) are characterized by many types of symptoms, damaged cognitive function, and abnormal brain connections. The microstates are considered to be the cornerstones of the mental states shown in EEG data.
Fanglan Wang   +2 more
doaj   +1 more source

An Information-Theoretic Analysis of Resting-State versus Task fMRI [PDF]

open access: yes, 2023
Resting-state fMRI is an increasingly popular alternative to task-based fMRI. However, a formal quantification of the amount of information provided by resting-state fMRI as opposed to active task conditions about neural responses is lacking.
Zeidman, Peter   +7 more
core   +1 more source

A review of resting-state fMRI and its use to examine psychiatric disorders

open access: yesPsychoradiology, 2021
Resting-state fMRI (rs-fMRI) has emerged as an alternative method to study brain function in human and animal models. In humans, it has been widely used to study psychiatric disorders including schizophrenia, bipolar disorder, autism spectrum disorders ...
Edgar Canario   +2 more
semanticscholar   +1 more source

1 persistent features of the resting-state connectome in healthy subjects [PDF]

open access: yes, 2023
The analysis of the resting-state functional connectome commonly relies on graph representations. However, the graph-based approach is restricted to pairwise interactions, not suitable to capture high-order interactions, that is, more than two regions ...
Francisco Gómez   +2 more
core   +1 more source

A multi-site, multi-disorder resting-state magnetic resonance image database

open access: yesScientific Data, 2021
Machine learning classifiers for psychiatric disorders using resting-state functional magnetic resonance imaging (rs-fMRI) have recently attracted attention as a method for directly examining relationships between neural circuits and psychiatric ...
Saori C. Tanaka   +29 more
semanticscholar   +1 more source

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